Diagnosing Go Digit's Embedded-Insurance Integration Loop

Marketing Academy · Field Work●Growth Marketing

All projects·From: B2B Growth Loop Design

MiniAudit· 30 minutes

Go Digit General Insurance

Objective: Given a synthetic month-2 partner funnel export, apply the lesson's integration-loop KPI (percent of active partners with 3+ API integrations) to diagnose whether Go Digit's embedded-insurance loop is compounding or stalling.

You're a growth analyst at Go Digit General Insurance, the Bengaluru-headquartered, NSE-listed general insurer, reviewing how its API partner ecosystem (travel apps, fintech apps, and OEM dealerships embedding Go Digit's insurance APIs) is compounding.

Segment partners by how many Go Digit API products they've integrated, benchmark against the lesson's Slack-derived 3+ integration target, and diagnose where the loop is stalling.

Before you start

What you'll need

Free path (everything below is enough to finish)

Google Sheets

FreeGroup and benchmark the partner export

Free, sufficient for a 210-row grouping and benchmark comparison

The process

1 step

Step 01 of 01

Diagnosing an integration ecosystem loop against a 3+ integration KPI benchmark

The lesson's efficiency framework benchmarks the integration ecosystem loop by the percent of month-2 active users who've installed 3+ integrations, using Slack's >50% target as the bar for a loop that's genuinely compounding.

Of Go Digit's 210 month-2 active API partners, 74 have integrated 3+ insurance products (motor, travel, health) into their app, 91 have integrated exactly 1, and 45 have integrated 2. Against the lesson's 3+ integration benchmark, is this loop compounding or stalling, and which segment do you target first?

Google Sheets— Import the 210-row partner export, group by integration count.

Procedure

Import and freeze the header row
Group partners into 1, 2, and 3+ integration buckets
Calculate the percent of month-2 actives at 3+ integrations
Compare against the lesson's >50% Slack-derived benchmark
Flag the 2-integration bucket as the highest-leverage nudge target (closest to the compounding threshold)

Sample output

Go Digit API partner ecosystem, month-2 integration depth

1 INTEGRATION: 91 partners (43%)
2 INTEGRATIONS: 45 partners (21%)
3+ INTEGRATIONS: 74 partners (35%)

BENCHMARK (lesson, Slack-derived): >50% at 3+ integrations
GAP TO BENCHMARK: -15 points
HIGHEST-LEVERAGE SEGMENT: 45 partners at exactly 2 integrations

Healthy

35%+ of month-2 actives sit at 3+ integrations and trending upward month over month.

Unhealthy

The majority of partners plateau at exactly 1 integration and never add a second.

What this means

At 35% against a >50% benchmark, the loop is under-compounding, the 2-integration bucket is the fastest path to close the gap since those partners have already cleared the harder first-integration hurdle.

So what do I do about it?

Symptom	Action	Effort
35% at 3+ integrations, 15 points under benchmark	Build a targeted 'add your second integration' campaign for the 45 partners stuck at 2	half day
91 partners stuck at exactly 1 integration	Audit onboarding for why partners stop after the first API call	dev ticket

YouYou can do this yourself, no engineering access required.

Final deliverable

An integration-depth funnel benchmarked against the lesson's 3+ integration KPI, with the highest-leverage segment flagged.

See a reference example

Sample output

RateGain partner ecosystem, month-2 integration depth (excerpt)

1 INTEGRATION: 58 partners (31%)
2 INTEGRATIONS: 39 partners (21%)
3+ INTEGRATIONS: 89 partners (48%)

GAP TO BENCHMARK: -2 points

Success criteria

You're done when you can:

Correctly groups partners into the three integration-depth buckets
Benchmarks against the lesson's >50% target and identifies the highest-leverage segment to nudge